Based on Time Constant Dynamic Adjustment of Quantum Circuit Optimization

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel approach to quantum circuit optimization centered around dynamically adjusting time constants within quantum circuits. The core idea is to leverage the inherent time-dependent evolution of quantum states governed by time constants to optimize the circuit's performance. Traditional quantum circuit optimization methods often rely on static circuit designs, neglecting the ability to adapt to the evolving quantum state. We propose a mechanism where time constants are dynamically adjusted, effectively modulating the coupling strengths and controllability between qubits during their evolution. This dynamic adjustment aims to steer the quantum state towards a desired final state more efficiently, thereby enhancing the overall quantum computation process. We explore the theoretical framework and potential implications of this methodology, highlighting its potential advantages over existing static optimization techniques. The optimization strategy relies on a feedback loop, continuously monitoring the quantum state's evolution and adjusting the time constants accordingly. This iterative process aims to minimize the circuit's execution time and maximize the fidelity of the final result. Further investigation into the mathematical formulation and control strategies will be crucial in realizing the full potential of this dynamic approach.

DOI: 10.5281/zenodo.22292781

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